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Article . 2024 . Peer-reviewed
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Potentials for reducing spatial inequalities in innovation: A spatial econometric perspective

Authors: Theresa Bürscher; Thomas Scherngell;

Potentials for reducing spatial inequalities in innovation: A spatial econometric perspective

Abstract

ABSTRACTThis study explains disparities in regional innovation through specific features of regional knowledge bases, including recently discussed concepts such as, technological relatedness, knowledge complexity, and technological complementarity among neighboring regions and regions connected in R&D networks. We employ a spatial autoregressive panel model for 405 European regions to estimate the effects of these characteristics. While being connected to complementary regions and having a high region‐internal technological relatedness are conducive to regional innovation, knowledge complexity has no positive effect interestingly. In illustrative convergence scenarios, we demonstrate the potential of increasing relatedness and complementarity to reduce inequalities in Europe, pointing to important policy implications.

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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